Risk Modeller

2 weeks ago

London, United Kingdom Gallagher Full time

Exposure Management is a high profile and fast growing area of the Gallagher Specialty business, working with the Gallagher US retail and London wholesale broking units to assist clients in handling their exposure data, using RMS and AIR catastrophe models to ensure clients have the appropriate cover in the appropriate locations.

The Team currently looks after 9 different business units, which includes but is not limited to, US Property D&F, Natural Resources, Livestock and International Property.

**Your Role**:

- Play a meaningful role in growing the Catastrophe Modelling function within Gallagher Specialty which will involve taking ownership for delivering exposure & cat modelling for the various business units we work with
- Help build new opportunities for the business through the expansion of client and carrier analytics
- Perform a key role maintaining data warehouses and other systems that hold exposure, premium & claims information which enables Clients and Brokers to see exposure and modelled losses in real time
- Perform quality control checks on all policies entered into the Exposure Management systems across multiple lines of business to ensure data accuracy
- Ensure any errors found are rectified and the appropriate remedial instruction is given as required
- Ensure standard operating procedures and minimum data quality standards are adhered to
- Ensure internal and external KPI’s and SLA’s are met
- Help shape and actively contribute to the exposure management strategy of Gallagher Specialty
- Develop new initiatives in this exciting and fast growing area of the business

**Your Skills, Knowledge & Qualifications**:

- Professional qualifications such as a DIP CII or ACII or a desire to take them
- CCRA qualification is desirable
- 2-4 years previous Catastrophe Modelling experience gained at either an insurer or broking house
- Knowledge of LMP slips & the Lloyds and London Insurance Market
- Minimum of 2 years’ experience using Catastrophe Models, in particular RMS Risklink / Risk Modeller
- Technical knowledge of data enrichment, manipulation and data cleansing best practices
- Ability to work quickly and accurately with large data sets
- Curiosity about data and Natural Catastrophes
- Self-Motivated
- Good communication and presentation skills
- Proactive in finding solutions to problems without waiting to be prompted by others
- Good MS office skills particularly Microsoft Excel and ideally Power BI
- Knowledge of GIS software
- Good knowledge of SQL
- Python or R programming knowledge is desirable but not essential
- Eligible to work in the UK.

**What We Offer You**:
We want Gallagher to be the organisation that all our people are proud to be a part of and where everyone can call themselves one of our team. Where our culture is embracing of difference, where you can be the best and, perhaps most importantly, be yourself.

We are all different in some way. If we were all the same, and all thought the same, we would be vulnerable as a group. By welcoming and encouraging diverse opinions and backgrounds within our organisation, we will have a healthier, more innovative and ultimately more profitable business.

**About Us**:
Gallagher is a global leader in insurance, risk management and consulting services. We help businesses grow, communities thrive and people prosper. We live a culture motivated by The Gallagher Way, our set of shared values and guiding tenets. A culture driven by our people, over 30,000 strong, serving our clients with customized solutions that will protect them and fuel their futures.

As a member of our global brokerage team, you’ll help our clients address risk, protect assets and recover from losses.

Our employing entity, Arthur J. Gallagher Services (UK) Limited, is proud to be accredited as a Living Wage employer with the Living Wage Foundation. Gallagher is committed to diversity of opportunity for all and is opposed to any form of less favourable treatment on the grounds of gender or gender identity, marital status, civil partnership status, parental status, race, ethnicity, colour, nationality, disability, sexual orientation, religion/ belief, age and those with caring responsibilities.

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